code: def test_compile_hip_speedyresnet_hf(self):
      old_default_float = dtypes.default_float
      dtypes.default_float = dtypes.float16
  
      W = Tensor.rand(12, 3, 2, 2)
      model = SpeedyResNet(W)
  
      input = Tensor.rand(512, 3, 32, 32)
      output = model(input)
      output.numpy()
  
      dtypes.default_float = old_default_float
  
file_path: tinygrad/test/test_hip_rdna3.py
imports: import unittest
  import operator
  from tinygrad import Tensor, Device, dtypes
  from tinygrad.helpers import DEBUG, to_function_name
  from tinygrad.codegen.linearizer import Linearizer
  from tinygrad.renderer.cstyle import HIPRenderer
  from examples.beautiful_mnist import Model
  from examples.hlb_cifar10 import SpeedyResNet
  from hypothesis import given, strategies, settings
label_desc: Use image node_id 3 for calling the TestHIPCompilationRDNA obj's underlying member method code with example usage: obj.test_compile_hip_speedyresnet_hf() without return types